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Supplement S1 - Quantifying Reproducibility in Computational Biology: The Case of the Tuberculosis Drugome

NIAID Data Ecosystem2026-03-08 收录

数据链接：

https://figshare.com/articles/dataset/_Quantifying_Reproducibility_in_Computational_Biology_The_Case_of_the_Tuberculosis_Drugome_/863561 数据链接链接失效反馈

官方服务：

资源简介：

A detailed account of the Reproducibility of the TB Drugome Method. (DOCX)

应用场景：

创建时间：

2013-11-27

结核病药物组合

药物化学计算建模

IntroductionTuberculosis (TB) remains the primary cause of death due to infectious disease in the world. TB, while treatable, requires an extended course of multiple antibiotics, taking 6–9 months, an

NIAID Data Ecosystem40

Reproducible implementation for article: Reproducibility Study for a Computational Model of the Neurovascular Coupling Unit

神经血管

计算生物学可重复性

Accompanying OMEX file for the Physiome article "Reproducibility Study for a Computational Model of the Neurovascular Coupling Unit".An OMEX archive is the Open Modelling Exchange format, the technica

DataCite Commons2025-09-08 更新30

Supplementary file 4_GEODE: an in silico tool that translates in vitro to in vivo predictions of tuberculosis antibiotic combination efficacy.zip

结核病药物组合

计算药理学

NIAID Data Ecosystem00

Artificial intelligence enabled parabolic response surface platform identifies ultra-rapid near-universal TB drug treatment regimens comprising approved drugs

结核病药物组合

临床前药效评估

Background Shorter, more effective treatments for tuberculosis (TB) are urgently needed. While many TB drugs are available, identification of the best regimens is challenging because of the large numb

NIAID Data Ecosystem40

Supplement S1 - Quantifying Reproducibility in Computational Biology: The Case of the Tuberculosis Drugome

计算生物学可重复性

结核病药物组合

A detailed account of the Reproducibility of the TB Drugome Method. (DOCX)

Figshare2015-12-02 更新30